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New Professor in the Department

Theo DamoulasWe are happy to announce that Dr Theo Damoulas has been promoted to Professor, effective from 1 August 2021. Quoting from Theo's recommendation,

Since his appointment to Warwick in 2015, Dr Damoulas has steadily and speedily risen to one of the most successful researchers in his two departments of Computer Science and Statistics. ... An impressive characteristic of Dr Damoulas’s expertise is his bridging of fundamentals and applications in these fields, and his ability to collaborate intensively over a wide area spanning several Warwick departments, several groups at the Turing, government bodies and industrial partners. ... Dr Damoulas has been one of the most energetic and most appreciated teachers in the department. ... The teaching achievements of Dr Damoulas extend also beyond Warwick, including his work with NYPD, his mentorships within the Turing PhD enrichment scheme, and his PhD external examining work.

it remains to say many congratulations!

Tue 13 Jul 2021, 15:18 | Tags: People Highlight Data Science Systems and Security

Dr Josiah Lutton and Dr Pavel Veselý Named Joint Winners of a SEM Faculty Post Doctoral Prize

We are delighted to report that Dr Josiah Lutton and Dr Pavel Veselý, Research Fellows from the Department of Computer Science, have been named joint winners of a SEM Faculty Post Doctoral Prize.

Each year, the University of Warwick's Faculty of Science, Engineering and Medicine (SEM) funds a prize for the best Warwick-affiliated research output from an Early Career Researcher. Each department nominates a winner, or joint winners, out of the applications received after a judging process as determined by the Faculty.

Professor Yulan He, who led the Department's selection, commented:

Pavel's paper on quantile summary, co-authored with Professor Graham Cormode, was published in a top-tier conference on theoretical databases, Symposium on Principles of Database Systems (PODS) co-located with SIGMOD. The tight lower bound for quantile summaries proposed in this work is a deep theoretical exploration central to data management. The work led to a collaboration with Splunk, a US-based company that focuses on processing machine-generated big data. The follow-up paper has been accepted to the 2021 edition of the PODS conference. The result has a great potential for a broader impact. Josiah's work is on medical imaging. Together with Dr Sharon Collier and Professor Till Bretschneider, they proposed an enhanced 3D segmentation method (with a curvature-based enhancement term), which outperforms the best-of-breed random walker method in Dictyostelium image volumes. The work was published in a top journal, IEEE Transactions on Medical Imaging, with an impact factor of 6.68. Josiah presented his method at the Actin 2020 meeting and was awarded a prize for best imaging in a talk by the Royal Microscopical Society and has been featured in an article in their inFocus magazine.


WATE Win for Dr Matthew Leeke

We are pleased to report that Dr Matthew Leeke, Reader at the Department of Computer Science, has been recognised as part of the Warwick Awards for Teaching Excellence (WATE) 2020-21. WATE seeks to recognise outstanding teaching and support of learning across the University. This year the awards celebrated stories of everyday excellence in challenging times, and worked to plant the seeds for future approaches to teaching and learning.

Dr Matthew Leeke said regarding his award:

I'm hugely grateful to our students for the nomination. I feel fortunate to be recognised but even more fortunate to work with such talented and thoughtful people. I'd also like to thank my colleagues for their support. So much of what we do in academia goes unseen, making it important to remember that any success is always a team effort. The module tutors I worked with this year are a great example. Archie, Kabir and Vasan went well above-and-beyond in exceptionally difficult circumstances. It's the work of postgraduate students like them and our support teams that make any kind of recognition possible.

Mon 21 Jun 2021, 09:24 | Tags: People Data Science Systems and Security

Further three academic promotions

Victor SanchezGihan MudaligeArshad JhumkaWe are happy to announce that Dr Arshad Jhumka, Dr Gihan Mudalige and Dr Victor Sanchez have been promoted to Reader, effective from 1 August 2021. Quoting from Victor's recommendation,

Dr Sanchez has brought in significant research funding as PI, and as CoI was key to the successful completion of the large IDENTITY project. The size and quality of Dr Sanchez’s research group is impressive, as well as his leadership in joint supervision with colleagues. ... Dr Sanchez is one of the most effective teachers in the department. Every module he has been responsible for has been successful, including in recent years our flagship Machine Learning popular option for 3rd-year undergraduates. Several times, Dr Sanchez has designed or completely redesigned modules, resulting in evidenced student satisfaction.

from Gihan's recommendation,

The career of Dr Gihan Mudalige in the department has been steadily and rapidly progressing upwards since his appointment as Assistant Professor in 2016, marked by such milestones as obtaining a Royal Society Industry Fellowship and being promoted to Associate Professor in 2018, shortly followed by the award of a £1.8M EPSRC-Rolls Royce grant, and taking up the leadership of the department’s high-performance computing research in 2020. ... Dr Mudalige has contributed considerably to the life of the department through his membership and leadership of the Computer Systems Engineering course committee, as well as having been responsible for internships and intercalated years.

and from the recommendation for Arshad,

The high regard of Dr Jhumka’s work by the international research community is clear from his best paper awards, editorial roles, invited talks, and wide network of collaborators. In the department, Dr Jhumka has been a leader in successfully bridging fundamental and applied research. His expertise has been recognized by a range of industrial and government partners, leading to several grants including the current substantial EPSRC PETRAS project. ... Dr Jhumka has introduced a number of practices into his teaching (such as an approach to coursework assignments by group work) that have been popular with students as well as subsequently adopted by other colleagues.

it remains to say many congratulations!


Identifying banknote fingerprints can stop counterfeits on streets

Shen Wang and Professor Feng Hao from the Systems and Security theme at the Department of Computer Science and Ehsan Toreini from Durham University, have had the paper ‘Anti-Counterfeiting for Polymer Banknotes Based on Polymer Substrate Fingerprinting’, published in the journal IEEE Transactions on Information Forensics and Security, in which they propose a novel technique called Polymer Substrate Fingerprinting, which can identify each banknote’s own unique, unclonable fingerprint.

The researchers have found that every polymer banknote has a unique "fingerprint", which is caused by the inevitable imperfection in the physical manufacturing process, whereby the opacity coating, a critical step during the production of polymer notes, leaves an uneven coating layer with a random dispersion of impurities in the ink. This imperfection results in random translucent patterns when a polymer banknote is back-lit by a light source.

Tue 23 Mar 2021, 12:33 | Tags: Research Data Science Systems and Security

Graham Cormode named 2020 ACM Fellow

Prof. Graham Cormode of the Department of Computer Science has been named among the 2020 Association for Computing Machinery (ACM) Fellows, for contributions to computer science. The ACM is the world's leading learned society for computer science. Prof. Cormode is recognised for his contributions to data summarisation and privacy enabling data management and analysis. His work on data streams and sketching has been widely implemented in many high tech companies and organisations.


EPSRC funding awarded to Prof. Yulan He and Prof. Rob Procter on developing an AI solution for tackling “infodemic”

Prof. Yulan He and Prof. Rob Procter have been awarded funding from the EPSRC under the UKRI’s COVID-19 call. During the COVID-19 pandemic, national and international organisations are using social media and online platforms to communicate information about the virus to the public. However, propagation of misinformation has also become prevalent. This can strongly influence human behaviour and negatively impact public health interventions, so it is vital to detect misinformation in a timely manner. This project aims to develop machine learning algorithms for automatic collection of external evidence relating to COVID-19 and assessment of veracity of claims.

The project is in collaboration with Prof. Maria Liakata and Dr. Arkaitz Zubiaga from the Queen Mary University of London.


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